1 to 25 of 34 Model Validation Jobs in the West Midlands

focuses on validating and improving AI/ML models used in operational and infrastructure applications. The ideal candidate will have hands-on experience in model validation, data analysis, and working with large, complex datasets in production environments. Key Responsibilities: · Design and implement validation frameworks to ensure …/ML models meet performance, accuracy, and reliability standards. · Conduct experiments and analyse model outputs, providing actionable insights to improve model performance. · Develop automated testing pipelines to streamline model validation processes. · Collaborate with Data Engineers, ML Engineers, and cross-functional teams to optimise data quality ...

data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data inputs & schemas Analytical logic Exact ...

data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data inputs & schemas Analytical logic Exact ...

frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques … appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. 3. Data Engineering ...

frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques … appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. 3. Data Engineering ...

frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques … appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. 3. Data Engineering ...

frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques … appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. 3. Data Engineering ...

building models, running experiments, validating results, and ensuring that research code is robust and reproducible. This role suits someone who enjoys hands-on model development and wants their work to directly influence scientific discovery, while still caring deeply about code quality and collaboration. What you'll do: Develop ...

building models, running experiments, validating results, and ensuring that research code is robust and reproducible. This role suits someone who enjoys hands-on model development and wants their work to directly influence scientific discovery, while still caring deeply about code quality and collaboration. What you'll do: Develop ...

building models, running experiments, validating results, and ensuring that research code is robust and reproducible. This role suits someone who enjoys hands-on model development and wants their work to directly influence scientific discovery, while still caring deeply about code quality and collaboration. What you'll do: Develop ...

building models, running experiments, validating results, and ensuring that research code is robust and reproducible. This role suits someone who enjoys hands-on model development and wants their work to directly influence scientific discovery, while still caring deeply about code quality and collaboration. What you'll do: Develop ...

building models, running experiments, validating results, and ensuring that research code is robust and reproducible. This role suits someone who enjoys hands-on model development and wants their work to directly influence scientific discovery, while still caring deeply about code quality and collaboration. What you'll do: Develop ...

migration, ensuring accuracy and efficiency. Identify obsolete or redundant data that can be archived or removed. Maintain clear documentation of data models, mappings, and validation processes. Act as a liaison between data engineers, developers, and business teams to ensure alignment. Support reporting and visualisation needs; Power BI knowledge ...

migration, ensuring accuracy and efficiency. Identify obsolete or redundant data that can be archived or removed. Maintain clear documentation of data models, mappings, and validation processes. Act as a liaison between data engineers, developers, and business teams to ensure alignment. Support reporting and visualisation needs; Power BI knowledge ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Data Scientist Permanent | Remote (UK-wide) We're looking for an experienced Data Scientist who's comfortable rolling their sleeves up and delivering work that genuinely makes a difference. This is a hands-on role ...

Data Scientist Permanent | Remote (UK-wide) We're looking for an experienced Data Scientist who's comfortable rolling their sleeves up and delivering work that genuinely makes a difference. This is a hands-on role ...

Data Scientist Permanent | Remote (UK-wide) We're looking for an experienced Data Scientist who's comfortable rolling their sleeves up and delivering work that genuinely makes a difference. This is a hands-on role ...

validate business requirements through stakeholder engagement, creating clear process flows and user stories. Define and support data migration strategies, including data mapping and integrity validation across all phases. Oversee migration and integration activities, ensuring seamless transitions between legacy and target platforms under governance frameworks. Collaborate with cross-functional teams … into clear, actionable requirements Strong analytical and problem-solving abilities, with a focus on risk and delivery assurance Desirable: Understanding of data models and validation activities; familiarity with system integration projects Professional certifications (BCS Business Analysis, IIBA, or similar) About DigX DigX specialises in IT transformation for complex enterprise ...

Analytics Engineer - Permanent - Remote - up to £65k per annum The Opportunity We are seeking an enthusiastic, self-starting Analytics Engineer to join our clients growing Technology & Digital department. In this role, you will bridge the ...

Analytics Engineer - Permanent - Remote - up to £65k per annum The Opportunity We are seeking an enthusiastic, self-starting Analytics Engineer to join our clients growing Technology & Digital department. In this role, you will bridge the ...

Analytics Engineer - Permanent - Remote - up to £65k per annum The Opportunity We are seeking an enthusiastic, self-starting Analytics Engineer to join our clients growing Technology & Digital department. In this role, you will bridge the ...